bringing self-assessment home: repository profiling and key lines of enquiry within drambora

Clicks: 173
ID: 256122
2008
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
As repositories of various shapes and sizes continue to appear across the digital preservation landscape, means are urgently required to facilitate their evaluation. In what remains an immature discipline there are seldom any assurances of the viability of individual preservation infrastructures, and a pragmatic, risk-averse approach is critically important. The Digital Repository Audit Method Based on Risk Assessment (DRAMBORA) provides repository administrators with a flexible self- audit methodology and online tool, facilitating the validation of their objectives and methods and the management of intrinsic and extrinsic threats. This article introduces DRAMBORA, outlining its respective strengths and describing where it fits into a wider evaluation context.
Reference Key
mchugh2008internationalbringing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Andrew McHugh;Seamus Ross;Perla Innocenti;Ravio Ruusalepp;Hans Hofman
Journal mustansiriyah journal of science
Year 2008
DOI
10.2218/ijdc.v3i2.64
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.